Topic: machine-learning-tutorial Goto Github
Some thing interesting about machine-learning-tutorial
Some thing interesting about machine-learning-tutorial
machine-learning-tutorial,Machine Learning Algorithm Implementations
User: amansinha28
machine-learning-tutorial,The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.
User: anastazijaverovic
machine-learning-tutorial,Machine learning notes that make your reading easy
User: ashishpatel26
machine-learning-tutorial,Classify movie posters by genre
User: benckx
machine-learning-tutorial,Predict diabetes disease using a Logistic Regression with TensorFlow.js
User: curiousily
Home Page: https://www.curiousily.com/
machine-learning-tutorial,Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
User: data-flair
Home Page: https://data-flair.training/courses/machine-learning-course-hindi/
machine-learning-tutorial,A machine repository for kick-starting Machine Learning in no time!
User: datasenseiaryan
machine-learning-tutorial,In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your models.
User: drazendee
machine-learning-tutorial,Algotrading101 article about Sklearn
User: igorwounds
Home Page: https://algotrading101.com/learn/sklearn-guide/
machine-learning-tutorial,βοΈβοΈ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
User: jim-schwoebel
machine-learning-tutorial,
User: junhoning
machine-learning-tutorial,λ₯λ¬λ with C++ μμ€ μ½λ
User: kmc7468
machine-learning-tutorial,Machine learning case study
User: leanh153
machine-learning-tutorial,Workshop on Deep Learning for Health and Life Sciences
User: leriomaggio
machine-learning-tutorial,Text clustering with K-means andΒ tf-idf
User: mihailsalnikov
machine-learning-tutorial,Study notes for Elements of Statistical Learning (ESL) book.
User: mohitzsh
machine-learning-tutorial,Code and files to go along with CS329s machine learning model deployment tutorial.
User: mrdbourke
Home Page: https://youtu.be/fw6NMQrYc6w
machine-learning-tutorial,Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)
User: prometheussx
Home Page: https://www.kaggle.com/code/erdemtaha/detection-cancer-with-logistic-regression
machine-learning-tutorial,This Python code represents a machine learning project that builds a simple linear regression model using experience and salary data. It plots the data, constructs the regression model, and visualizes the results.
User: prometheussx
machine-learning-tutorial,A Python code for data analysis and salary predictions using a multiple linear regression model. The code calculates the intercept and coefficients of the model and makes predictions on sample data.
User: prometheussx
machine-learning-tutorial,This project utilizes logistic regression to classify numbers 0 and 1 using sign language gestures. It successfully achieves the task of sign language classification, reaching a test accuracy of 93.54%.
User: prometheussx
Home Page: https://www.kaggle.com/code/erdemtaha/sign-language-classification-tutorial-93-54/notebook
machine-learning-tutorial,Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning-tutorial,A Basic tutorial for beginners in Data Science. Contains step by step solution on the Titanic Dataset.
User: samdenlepcha
machine-learning-tutorial,A follow up page for the session on Machine and Learning and Deep Learning frameworks at GNR 652 course.
User: saurabhkm
machine-learning-tutorial,Machine Learning tutorials covering both traditional and deep learning models.
User: taguhim
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